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Emerging approaches to multiple chronic condition assessment.
J. Am. Geriatr. Soc. 70, 2498-2507 (2022)
Older adults experience a higher prevalence of multiple chronic conditions (MCCs). Establishing the presence and pattern of MCCs in individuals or populations is important for healthcare delivery, research, and policy. This report describes four emerging approaches and discusses their potential applications for enhancing assessment, treatment, and policy for the aging population. The National Institutes of Health convened a 2-day panel workshop of experts in 2018. Four emerging models were identified by the panel, including classification and regression tree (CART), qualifying comorbidity sets (QCS), the multimorbidity index (MMI), and the application of omics to network medicine. Future research into models of multiple chronic condition assessment may improve understanding of the epidemiology, diagnosis, and treatment of older persons.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Measurement ; Multimorbidity ; Multiple Chronic Conditions ; Older People
ISSN (print) / ISBN
0002-8614
e-ISSN
1532-5415
Quellenangaben
Volume: 70,
Issue: 9,
Pages: 2498-2507
Publisher
Wiley
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
Grants
National Institutes of Health Office of Disease Prevention
National Institutes of Health Office of Behavioral and Social Sciences Research
NIMHD NIH HHS
NIA NIH HHS
NCI NIH HHS
National Institutes of Health Office of Behavioral and Social Sciences Research
NIMHD NIH HHS
NIA NIH HHS
NCI NIH HHS